Luc Rey-Bellet
- Statistical and Nonlinear Physics top 2%
- Mathematical Physics top 5%
- Atomic and Molecular Physics, and Optics
- Statistics and Probability top 5%
- Condensed Matter Physics top 10%
- Co-authors
- Claude‐Alain PilletJean‐Pierre EckmannLawrence E. ThomasMarkos A. KatsoulakisLai-Sang YoungKonstantinos SpiliopoulosPetr PlecháčSung‐Ha Hwang
- Topics
- Advanced Thermodynamics and Statistical Mechanics (12 papers)Markov Chains and Monte Carlo Methods (9 papers)Theoretical and Computational Physics (9 papers)
- Journals
- The Journal of Chemical PhysicsJournal of Computational PhysicsIEEE Transactions on Information Theory
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Luc Rey-Bellet
36 papers receiving 625 citations
Peers
Comparison fields: 5 of 53
- Statistical and Nonlinear Physics 374
- Mathematical Physics 185
- Atomic and Molecular Physics, and Optics 129
- Statistics and Probability 107
- Condensed Matter Physics 104
Countries citing papers authored by Luc Rey-Bellet
This map shows the geographic impact of Luc Rey-Bellet's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Luc Rey-Bellet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Rey-Bellet more than expected).
Fields of papers citing papers by Luc Rey-Bellet
This network shows the impact of papers produced by Luc Rey-Bellet. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Luc Rey-Bellet. The network helps show where Luc Rey-Bellet may publish in the future.
Co-authorship network of co-authors of Luc Rey-Bellet
This figure shows the co-authorship network connecting the top 25 collaborators of Luc Rey-Bellet. A scholar is included among the top collaborators of Luc Rey-Bellet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luc Rey-Bellet. Luc Rey-Bellet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 2 | |
| 4 | 12 | |
| 5 | Robustness of Dynamical Quantities of Interest via Goal-Oriented Information Theory. | 0 |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 13 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | Entropic Fluctuations in Statistical Mechanics I. | 10 |
| 14 | 51 | |
| 15 | 10 | |
| 16 | 12 | |
| 17 | 4 | |
| 18 | 27 | |
| 19 | 33 | |
| 20 | 65 |
About Luc Rey-Bellet
Luc Rey-Bellet is a scholar working on Statistical and Nonlinear Physics, Statistics and Probability and Mathematical Physics, having authored 38 papers that have together received 665 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (12 papers), Markov Chains and Monte Carlo Methods (9 papers) and Theoretical and Computational Physics (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (374 citations), Mathematical Physics (185 citations) and Statistics and Probability (107 citations). Luc Rey-Bellet has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Claude‐Alain Pillet, Jean‐Pierre Eckmann, Lawrence E. Thomas, Markos A. Katsoulakis, Lai-Sang Young, Konstantinos Spiliopoulos, Petr Plecháč, Sung‐Ha Hwang, Gigliola Staffilani and Vojkan Jakšić. Their work appears in journals such as The Journal of Chemical Physics, Journal of Computational Physics and IEEE Transactions on Information Theory.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.